Generating Data from Highly Flexible and Individual Process Settings through a Game-based Experimentation Service
| dc.contributor.author | Kaes, Georg | |
| dc.contributor.author | Rinderle-Ma, Stefanie | |
| dc.contributor.editor | Mitschang, Bernhard | |
| dc.contributor.editor | Nicklas, Daniela | |
| dc.contributor.editor | Leymann, Frank | |
| dc.contributor.editor | Schöning, Harald | |
| dc.contributor.editor | Herschel, Melanie | |
| dc.contributor.editor | Teubner, Jens | |
| dc.contributor.editor | Härder, Theo | |
| dc.contributor.editor | Kopp, Oliver | |
| dc.contributor.editor | Wieland, Matthias | |
| dc.date.accessioned | 2017-06-20T20:24:30Z | |
| dc.date.available | 2017-06-20T20:24:30Z | |
| dc.date.issued | 2017 | |
| dc.description.abstract | The ability to adapt process instances to changing requirements has long been recognized as a fundamental research topic. While in some settings, process flexibility is only required in exceptional situations, in other settings it is the key component which drives the process design. Examples can be found in multiple domains, including the nursing domain, where each patient requires his own, individual therapy process which may change on a regular basis. In this paper, such flexible and individual process settings (FIPS) are analyzed and the basic building blocks are defined based on expert interviews and relevant literature. The building blocks are then mapped onto a game-based experimentation service which o ers a simulation and evaluation environment for FIPS. The data generated in this game are evaluated by a comparison with data from a real world FIPS. | en |
| dc.identifier.isbn | 978-3-88579-659-6 | |
| dc.identifier.pissn | 1617-5468 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik, Bonn | |
| dc.relation.ispartof | Datenbanksysteme für Business, Technologie und Web (BTW 2017) | |
| dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-265 | |
| dc.subject | process flexibility | |
| dc.subject | process logs | |
| dc.subject | process mining | |
| dc.subject | experimentation service | |
| dc.title | Generating Data from Highly Flexible and Individual Process Settings through a Game-based Experimentation Service | en |
| dc.type | Text/Conference Paper | |
| gi.citation.endPage | 350 | |
| gi.citation.startPage | 331 | |
| gi.conference.date | 6.-10. März 2017 | |
| gi.conference.location | Stuttgart | |
| gi.conference.sessiontitle | Cloud and Benchmarks |
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